Case Study: Q2 achieves real-time personalization for digital banking with Molecula

Q2 Delivers Unprecedented Real-Time Personalization on Q2 SMART™ Banking Platform using Molecula

Q2, a secure, cloud-based digital banking solutions company, needed to instantly access and analyze its massive database of over 5.1 billion customer traits to power real-time personalization for financial institutions. Their previous system was too slow, taking weeks to process data, which prevented them from delivering actionable insights and timely product recommendations to users while they were actively engaged on their banking platforms.

Molecula’s enterprise feature store was implemented to power Q2’s new "trait store," processing approximately 60 million Kafka messages daily. This solution provided instant, secure access to data without pre-processing, enabling real-time queries and machine learning. As a result, Q2 can now deliver highly targeted offers and insights to users in real time, such as loan offers or bill pay reminders, leading to higher conversion rates and a more personalized online banking experience for their clients' customers.

Q2

Adam Blue

Chief Technical Officer